eBook - ePub

Monte Carlo Simulation and Resampling Methods for Social Science

Name: Monte Carlo Simulation and Resampling Methods for Social Science
ISBN: 9781483324920

Thomas M. Carsey,

Jeffrey J. Harden,

English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Monte Carlo Simulation and Resampling Methods for Social Science

Thomas M. Carsey,

Jeffrey J. Harden,

About this book

Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.

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Yes, you can access Monte Carlo Simulation and Resampling Methods for Social Science by Thomas M. Carsey,Jeffrey J. Harden in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.